Exemplar Based Filtering of 2.5D Meshes of Faces

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dc.contributor.authorDihl, Leandroen_US
dc.contributor.authorCruz, Leandroen_US
dc.contributor.authorGonçalves, Nunoen_US
dc.contributor.editorJain, Eakta and Kosinka, Jiríen_US
dc.date.accessioned2018-04-14T18:29:57Z
dc.date.available2018-04-14T18:29:57Z
dc.date.issued2018
dc.description.abstractIn this work, we present a content-aware filtering for 2.5D meshes of faces. We propose an exemplar-based filter that corrects each point of a given mesh through local model-exemplar neighborhood comparison. We take advantage of prior knowledge of the models (faces) to improve the comparison. We first detect facial feature points, and create the point correctors for regions of each feature, and only use the correspondent regions for correcting a point of the filtered mesh.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEG 2018 - Posters
dc.identifier.doi10.2312/egp.20181020
dc.identifier.issn1017-4656
dc.identifier.pages25-26
dc.identifier.urihttps://doi.org/10.2312/egp.20181020
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20181020
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectMesh geometry models
dc.subjectMesh models
dc.subject3D imaging
dc.subjectReconstruction
dc.titleExemplar Based Filtering of 2.5D Meshes of Facesen_US
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